Al Nahdha vs Al-Kawkab: result 2-1 and analysis
Division 1Regular Season - 8Kick-off on October 8, 2019 at 03:00 PM (UTC)Prince Fahad bin Salman Stadium (Al Nahda), Dammam
Full time
What was the result of Al Nahdha vs Al-Kawkab?
Al Nahdha won 2-1 on October 8, 2019.
Goalscorers
- 11′?Al Nahdha
- 75′?Al-Kawkab
- 76′?Al Nahdha
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Nahdha have 6 wins, 1 draws and 8 defeats; Al-Kawkab have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2019 | Al Bukayriyah(home) | 3-1 | Division 1 |
| Sep 24, 2019 | Al Taqdom(away) | 1-1 | Division 1 |
| Sep 17, 2019 | Al-Qadisiyah FC(home) | 3-0 | Division 1 |
| Sep 10, 2019 | Al Jeel(away) | 0-1 | Division 1 |
| Sep 4, 2019 | Al Taee(home) | 0-2 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2019 | Al-Ansar(home) | 1-0 | Division 1 |
| Sep 25, 2019 | Al Bukayriyah(away) | 0-5 | Division 1 |
| Sep 18, 2019 | Al Taqdom(home) | 2-1 | Division 1 |
| Sep 10, 2019 | Al-Qadisiyah FC(away) | 0-1 | Division 1 |
| Sep 4, 2019 | Al Jeel(home) | 2-2 | Division 1 |
What does the head-to-head say?
Across the last 4 meetings: 2 Al Nahdha win(s), 0 draw(s), 2 Al-Kawkab win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 27, 2019 | Al-Kawkab 1-2 Al Nahdha | Division 1 |
| Nov 7, 2018 | Al Nahdha 0-1 Al-Kawkab | Division 1 |
| Apr 11, 2018 | Al-Kawkab 3-0 Al Nahdha | Division 1 |
| Dec 13, 2017 | Al Nahdha 3-2 Al-Kawkab | Division 1 |
Last archived meeting: Al-Kawkab vs Al Nahdha on Mar 27, 2019
How many goals should we expect?
Al Nahdha score 1.2 and concede 1.1 goals per match over their last 15; Al-Kawkab score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Nahdha | 1.2 | 1.1 | 3 | 6/15 | 6/15 |
| Al-Kawkab | 1.2 | 1.2 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy